Selected Publications

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2024
Simchi-Levi D., Wang C.  2024.  Pricing Experimental Design: Causal E ect, Expected Revenue and Tail Risk. Management Science.
Simchi-Levi D., Zheng Z., Zhu F..  2024.  A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Stochastic Bandits. Management Science.
Simchi-Levi D., Wang C.  2024.  Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference. Management Science.
2023
Mao W, Zhang K, Zhu R, Simchi-Levi D, Başar T.  2023.  Model-Free Non-Stationary Reinforcement Learning: Near-Optimal Regret and Applications in Multi-Agent Reinforcement Learning and Inventory Control. Management Science.
Zhu F, Zheng Z, Simchi-Levi D.  2023.  Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS 2023 Spotlight (top 3%).
Simchi-Levi D, Wang C, Zheng Z.  2023.  Non-stationary Experimental Design under Linear Trends. NeurIPS.
Simchi-Levi D, Zheng Z, Zhu F.  2023.  Offline Planning and Online Learning under Recovering Rewards. Management Science.
Simchi-Levi D, Sun R, Wang X.  2023.  Online Matching with Bayesian Rewards. Operations Research.
Cheung W. C., Simchi-Levi D, Zhu R.  2023.  Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Management Science.
Chen X, Ma W, Simchi-Levi D, Xin L.  2023.  Assortment Planning for Recommendations at Checkout under Inventory Constraints. Mathematics of Operations Research.
2022
Ledvina K, Qin H, Simchi-Levi D, Wei Y.  2022.  A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility.
Ma W, Simchi-Levi D.  2022.  Constructing Demand Curves from a Single Observation of Bundle Sales. WINE 2022.
Bu J, Simchi-Levi D, Wang C.  2022.  Context-Based Dynamic Pricing with Partially Linear Demand Model. NeurIPS 2022.
Hu Y, Simchi-Levi D, Yan Z.  2022.  Learning Mixed Multinomial Logits with Provable Guarantees. NeurIPS 2022.
Simchi-Levi D, Zheng Z, Zhu F.  2022.  A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. NeurIPS 2022.
Gong X, Simchi-Levi D.  2022.  Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. Management Science.
Qin H, Simchi-Levi D, Ferer R, Mays J, Merriam K, Forrester M, Hamrick A.  2022.  Trading Safety Stock for Service Response Time in Inventory Positioning. Production and Operations Management. (Special Issue in celebration of POMs 30 years)
Simchi-Levi D, Sun R, Wu MXiao, Zhu R.  2022.  Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. Management Science.
Simchi-Levi D, Xu Y.  2022.  Phase Transitions in Bandits with Switching Constraints. Management Science.
Foster D, Krishnamurthy A, Simchi-Levi D, Xu Y.  2022.  Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. COLT 2022.
Li H, Simchi-Levi D, Wu M, Zhu W.  2022.  Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. Management Science.
Bojinov I, Simchi-Levi D, Zhao J.  2022.  Design and Analysis of Switchback Experiments. Management Science.
Talwai P, Shameli A, Simchi-Levi D.  2022.  Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTAT 2022.
2021
Bastani H, Simchi-Levi D, Zhu R.  2021.  Meta Dynamic Pricing: Transfer Learning Across Experiments. Management Science—Special Issue on Data-Driven Prescriptive Analytics.
Ma W, Simchi-Levi D.  2021.  Reaping the Benefits of Bundling under High Production Costs. To appear in Proceedings of the 24nd International Conference on Artificial Intelligence and Statistics, AISTATS..
Bu J, Simchi-Levi D, Wang L.  2021.  Offline Pricing and Demand Learning with Censored Data. Management Science.
Chen L, Ma W, Natarajan K, Simchi-Levi D, Yan Z.  2021.  Distributionally Robust Linear and Discrete Optimization with Marginals. Operations Research.
Bu J, Simchi-Levi D, Xu Y.  2021.  Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Management Science.
Cheung W.C, Ma W, Simchi-Levi D, Wang X.  2021.  Inventory Balancing with Online Learning. Management Science.
Simchi-Levi D, Sun R, Zhang H.  2021.  Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. Management Science.
Chen B, Simchi-Levi D, Wang Y, Zhou Y.  2021.  Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Management Science.
Qin H, Simchi-Levi D, Wang L.  2021.  Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. Management Science.
Simchi-Levi D, Xu Y.  2021.  Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. Mathematics of Operations Research.
Simchi-Levi D, Zheng Z, Zhu F.  2021.  Dynamic Planning and Learning under Recovering Rewards. ICML 2021.
Mao W, Zhang K, Zhu R, Simchi-Levi D, Basar T.  2021.  Is Model-Free Learning Nearly Optimal for Non-Stationary RL? ICML 2021.
Foster D, Rakhlin A, Simchi-Levi D, Xu Y.  2021.  Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. COLT 2021.
Chen X, Simchi-Levi D, Wang Y.  2021.  Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Management Science.
Gong X, Goyal V, Iyengar G, Simchi-Levi D, Udwani R, Wang S.  2021.  On-line Assortment Optimization with Reusable Resources. Management Science.
2020
Cheung W.C, Simchi-Levi D, Zhu R.  2020.  Hedging the Drift: Learning to Optimize under Non-Stationarity. Management Science—Special Issue on Data-Driven Prescriptive Analytics.
Nambiar M, Simchi-Levi D, Wang H.  2020.  Dynamic Inventory Allocation with Demand Learning for Seasonal Goods. Production and Operations Management, Special Issue to Honor Professor Hau Lee, Editor Christopher S. Tang.
Wang Y, Chen B, Simchi-Levi D.  2020.  Multi-Modal Dynamic Pricing. Management Science.
Jin R, Simchi-Levi D, Wang L, Wang X, Yang S.  2020.  Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. Management Science.
Chen X, Owen Z, Pixton C, Simchi-Levi D.  2020.  A Statistical Learning Approach to Personalization in Revenue Management. Management Science.
Cheung W.C, Simchi-Levi D., Zhu R.  2020.  Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.
Bu J, Simchi-Levi D, Xu Y.  2020.  Online Pricing with Offline Data: Phase Transition and Inverse Square Law. ICML 2020.
Hopp W., Simchi-Levi D..  2020.  Management Science: The Legacy of the Past and Challenge of the Future. Management Science.
Ma W, Simchi-Levi D, Zhao J.  2020.  Dynamic Pricing (and Assortment) under a Static Calendar. Management Science.
2019
Ma W, Simchi-Levi D.  2019.  Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios. Operations Research.
Simchi-Levi D, Xu Y.  2019.  Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. NeurIPS 2019.
Cheung W.C, Simchi-Levi D, Zhu R.  2019.  Learning to Optimize under Non-Stationarity. AISTATS 2019.
Cheung W.C, Simchi-Levi D.  2019.  Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Mathematics of Operations Research.
Nambiar M, Simchi-Levi D, Wang H.  2019.  Dynamic Learning and Pricing with Model Misspecification. Management Science.
Simchi-Levi D, Trichakis N, Zhang P Y.  2019.  Designing Response Supply Chain against Bioattacks. Operations Research.
2018
Ferreira J.K, Simchi-Levi D, Wang H.  2018.  Online Network Revenue Management using Thompson Sampling. Operations Research. 66(6)
Allen-Zhu Z, Simchi-Levi D, Wang X.  2018.  The Lingering of Gradients: How to Reuse Gradients Over Time. NeurIPS 2018. (31)
Simchi-Levi D, Wang H, Wei Y.  2018.  Increasing Supply Chain Robustness Through Process Flexibility and Inventory. Production and Operations Management. 27(8)
Akkas A, Gaur V, Simchi-Levi D.  2018.  Drivers of Product Expiration in Consumer-Packaged Goods Retailing. Management Science.
Gao SYini, Simchi-Levi D, Teo C-P, Yan Z.  2018.  Disruption Risk Mitigation in Supply Chains - The Risk Exposure Index Revisited. Operations Research.
2017
Zhao Y, Fang X, Simchi-Levi D.  2017.  Uplift Modeling with Multiple Treatments and General Response Types. SIAM Data Mining 2017.
Cheung W.C, Simchi-Levi D, Wang H.  2017.  Dynamic Pricing and Demand Learning with Limited Price Experimentation. Operations Research. 65(6)
2016
Bidkhori H, Simchi-Levi D, Wei Y.  2016.  Analyzing Process Flexibility: A Distribution-free Approach with Partial Expectations.. Operations Research Letters. 44(3)
Ferreira J.K, Lee A.BH, Simchi-Levi D.  2016.  Analytics for an Online Retailer: Demand Forecasting and Price Optimization. Manufacturing and Service Operations Management. 18(1)
2015
Simchi-Levi D, Schmidt W, Wei Y, Zhang P Y, Combs K, Ge Y, Gusikhin O, Sanders M, Zhang D.  2015.  Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain. Interfaces. 45(5)
2014
Simchi-Levi D, Schmidt W, Wei Y.  2014.  From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review.
Simchi-Levi D, Wei Y.  2014.  Worst-case Analysis of Process Flexibility Designs. Operations Research. 63(1)
Johnson K, Simchi-Levi D, Sun P.  2014.  Analyzing Scrip Systems. Operations Research . 62(3)
Halman N, Klabjan D, Li C-L, Orlin J, Simchi-Levi D.  2014.  Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. SIAM Journal on Discrete Mathematics. 28(4)
2013
Chick S.E., Mamani H., Simchi-Levi D.  2013.  A Game Theoretic Model of International Influenza Vaccination Coordination. Management Science. 52
V de Albeniz M, Simchi-Levi D.  2013.  Supplier-Buyer Negotiation Games: Equilibrium Conditions and Supply Chain Efficiency. Production and Operations Management. 22
Klabjan D, Simchi-Levi D, Song M.  2013.  Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management. 22
2012
Simchi-Levi D, Wei Y.  2012.  Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility. Operations Research. 60
Halman N, Orlin J, Simchi-Levi D.  2012.  Approximating the Nonlinear Newsvendor and Single-Item Stochastic Lot-sizing Problems When Data Is Given by an Oracle. Operations Research. 60
2011
Huang K, Simchi-Levi D, Song M.  2011.  Optimal Market-Making with Risk Aversion. Operations Research.
Pei P, Simchi-Levi D, Tunca T.I.  2011.  Sourcing Flexiility, Spot Trading and Procurement Contract Structure. Operations Research. 59
2010
Lu Y, Ozdaglar A, Simchi-Levi D.  2010.  Stock Repurchase with an Adaptive Reservation Price: A Study of the Greedy Policy. Operations Research Letters. 29
2009
Halman N, Klabjan D, Mostagir M, Orlin J, Simchi-Levi D.  2009.  A Fully Polynomial Time Approximation Scheme for Single-item Stochastic Lot-sizing Problems with Discrete Demand. Mathematics of Operations Research. 34
V de Albeniz M, Simchi-Levi D.  2009.  Competition in the Supply Option Market.. Operations Research. 57
2008
Chick S.E., Mamani H., Simchi-Levi D.  2008.  Supply Chain Coordination and Influenza Vaccination. Operations Research. 56
2007
Chen X, Sim M, Simchi-Levi D, Sun P.  2007.  Risk Aversion in Inventory Management. Operations Research. 55
2006
Magnanti TL, Shen Z-JMax, Shu J, Simchi-Levi D, Teo C-P.  2006.  Inventory Placement in Acyclic Supply Chain Networks. Operations Research Letters. 36
Zhao Y, Simchi-Levi D.  2006.  Performance Analysis and Evaluation of Assemble-to-Order Systems with Stochastic Sequential Lead Times. Operations Research. 54
Chen X, Simchi-Levi D.  2006.  Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Continuous Review Model. Operations Research Letters. 36
2004
Chen X, Simchi-Levi D.  2004.  Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Infinite Horizon Case. Mathematics of Operations Research. 29
Chen X, Simchi-Levi D.  2004.  Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case. Operations Research. 52
2000
Chen Y.F., Ryan J.K, Simchi-Levi D.  2000.  The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect. Naval Research Logistics. 47
Chen Y.F., Drezner Z., Ryan J.K, Simchi-Levi D.  2000.  Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times and Information.. Management Science. 46
1997
Bramel J., Simchi-Levi D.  1997.  On the Effectiveness of Set Covering Formulations for the Vehicle Routing Problem. Operations Research. 45
1996
Bertsimas D., Simchi-Levi D.  1996.  The New Generation of Vehicle Routing Research: Robust Algorithms Addressing Uncertainty. Operations Research. 44
Bramel J., Simchi-Levi D.  1996.  Probabilistic Analysis and Practical Algorithms for the Vehicle Routing Problem with Time Windows. Operations Research. 44
1995
Bramel J., Simchi-Levi D.  1995.  A Location Based Heuristic for General Routing Problems. Operations Research. 43